This presentation is about understanding the content that goes into a geodatabase, advantages of using geodatabases, data management and maintaining data integrity.

1. Geodatabase: The ArcGIS
Mechanism for Data Management
Sabata Mcatshulwa and Liezel Botha

2. Presentation Outline
Cartographic Representations
Relationship feature classes
Raster Data
Complex feature classes
Versioning and Distributed GDB

3. Patterns of an Enterprise GIS
Data
Management
Collect,
organise &
exchange data
Stakeholder Planning &
Engagement Analyses
Get feedback Transform data
and make in to actionable
informed information
decisions Complete
Integrated
Systems
Operational
Awareness Field Mobility
Disseminate Get information
knowledge into & out of the
where & when it field
is needed
ArcGIS Addresses common organizational needs

4. Presentation Outline
Cartographic Representations
Relationship feature classes
Raster Data
Complex feature classes
Versioning and Distributed GDB

5. Cartographic Representations
• For storing
Complex symbology
Rule-based
In the geodatabase
Requires an ArcEditor or ArcInfo license

6. Presentation Outline
Cartographic Representations
Relationship feature classes
Raster Data
Complex feature classes
Versioning and Distributed GDB

7. Relationship feature classes
• Ensures Referential integrity
• Cardinality:
− one-to-one
− one-to-many
− many-to-many
• Rule based

8. Presentation Outline
Cartographic Representations
Relationship feature classes
Raster Data
Complex feature classes
Versioning and Distributed GDB

9. Raster Data
Raster Datasets
• Raster datasets can be:
− Individual raster datasets
− Mosaicked together
− Grouped into mosaic datasets
− Grouped into catalogs

10. Raster Data
Raster Catalog
− Collection of raster datasets stored in
geodatabase
− A raster catalog is typically used to display
adjacent fully overlapping, or partially overlapping
raster datasets without having to mosaic them into
one large raster dataset

11. Raster Data
Mosaic Datasets
• Store, manage, view and query small to
vast collections of raster and image data
• Dynamic Mosaicking
• Optimized
Data is stored as a catalog and viewed as a mosaicked image

12. Demonstration

13. Presentation Outline
Cartographic Representations
Relationship feature classes
Raster Data
Complex feature classes
Versioning and Distributed GDB

14. Complex feature classes
Topology
• Relationships between coincident features
• Ensures data integrity
• Rule based
− Constrain how features share geometry

15. Complex feature classes
Topology – New 10.1 Tools
• Align To Shape
• Replace Geometry Tool
• Align Edge Tool
• Topology Edit Trace Tool
• Reshape multiple edges at once

16. Complex feature classes
Geometric Networks
• Model common networks and infrastructures found
in the real world
• Examples:
− Water distribution
− Electrical lines
− Gas pipelines
− Telephone services
− Rivers/Streams
• Network Tracing
− Upstream/downstream
− Finding connected/disconnected features

17. Demonstration

18. Presentation Outline
Cartographic Representations
Relationship feature classes
Raster Data
Complex feature classes
Versioning and Distributed GDB

19. Versioning and Distributed GDB

20. Versioning and Distributed GDB
Feature edit tracking
Editor • name of the user who created it
Tom
• date and time it was created
Bill
Joe
• name of the user who edited it
• date and time it was last edited

21. Versioning and Distributed GDB
What is a Version?

22. Versioning and Distributed GDB
Privileges Dialog
• See all privileges on a dataset
• Bulk grant and revoke to users and roles

23. Versioning and Distributed GDB
Scripting Administration

24. Versioning and Distributed GDB
Replication

25. Versioning and Distributed GDB
Archiving
Provides the functionality to record and access
changes made to all or a subset of data in a
versioned geodatabase
• What was the value for a specific attribute at a certain moment?
• How has a particular feature or row changed through time?
• How has a spatial area evolved over time?

26. Demonstration

27. Discussion